These mistakes now feel like necessary steps on a conceptual path that is markedly directional. Progress
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Around 2010, I held views on intelligence that I can now see were hopelessly flawed, such as "cognition is compression (or prediction - same thing)", or "intelligence is sufficiently-scaled pattern recognition". Simultaneously, I did get several important things right at the time
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Care to share your new way of characterizing intelligence beyond compression/pattern recognition?
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to what have these changed to now? What is your definition of
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if you have a chance, have a read of @storiesofyrlife 's book "Beyond the Brain" https://press.princeton.edu/titles/9425.html … for excellent different views on cognition and intelligence.
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What did you think you get right? How do you think you'll think about these things in 8 years?
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A sparse representation versus a compressed representation. Maybe we go back and forth between these. Or if time is a factor, a representation that can be decoded quickly and encoded slowly, might be better to outrun predators than the other way around.
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Though ML is clearly a form of compression. Maybe redundancy and abundance are part of or preconditions for the plasticity of human intelligence
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May I ask what made you change your views and what views do you hold today?
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Have you considered prismatic intelligence as a model?
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